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Recent years have witnessed notable breakthroughs in the field of biotherapeutics. Proteolysis Targeting Chimeras (PROTACs) are novel molecules which used to degrade particular proteins despite the blockage by small drug molecules, which leads to a predicted therapeutic activity. This is a unique finding, especially at the cellular level targets degradations.

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Background: An in-depth and detailed facial assessment is critical in treating and achieving desirable dermal filler and neurotoxin results.

Methods: An acronym called A.S.

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ObjectiveLean methodology can be utilized to increase throughput in a fast-track care area without changing staffing in a busy, urban emergency department (ED). Methods A retrospective before-and-after analysis was performed to an improvement process in a fast-track care area within an ED with a census of 100,000 patients. The intervention utilized Lean methodologies to identify inefficiencies in the throughput model set for patients triaged to fast-track.

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Interoceptive Mechanisms and Emotional Processing.

Annu Rev Psychol

January 2025

Institute of Cognitive Neuroscience, University College London, London, United Kingdom; email:

Interoception, the sensing of internal bodily signals, is intricately linked with the experience of emotions. Various theoretical models of emotion incorporate aspects of interoception as a fundamental component alongside higher-order processes such as the appraisal of internal signals guided by external context. Interoception can be delineated into different dimensions, which include the nature of afferent signals, the accuracy with which they can be sensed, their neural processing, and the higher-order interpretation of these signals.

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A Methodical Framework Utilizing Transforms and Biomimetic Intelligence-Based Optimization with Machine Learning for Speech Emotion Recognition.

Biomimetics (Basel)

August 2024

Department of Artificial Intelligence Convergence, Chuncheon 24252, Republic of Korea.

Speech emotion recognition (SER) tasks are conducted to extract emotional features from speech signals. The characteristic parameters are analyzed, and the speech emotional states are judged. At present, SER is an important aspect of artificial psychology and artificial intelligence, as it is widely implemented in many applications in the human-computer interface, medical, and entertainment fields.

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